A Flexible Architecture Using Temporal, Spatial and Semantic Correlation-Based Algorithms for Story Segmentation of Broadcast News
Author:
Affiliation:
1. Department of Signal Processing and Communications, Universidad de Alcalá, Madrid, Spain
2. Department of Signal Processing and Communications, Universidad Rey Juan Carlos, Madrid, Spain
Funder
Universidad de Alcalá - ISDEFE Chair of Research in ICT and Digital Progress
Ministerio de Ciencia e Innovación
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
http://xplorestaging.ieee.org/ielx7/6570655/9970249/10214611.pdf?arnumber=10214611
Reference29 articles.
1. An end-to-end neural network approach to story segmentation
2. TV News Story Segmentation Using Deep Neural Network
3. Broadcast news story segmentation using sticky hierarchical dirichlet process
4. A hybrid neural network hidden Markov model approach for automatic story segmentation
5. Semantic Segmentation of Text Using Deep Learning
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